In [1]:
!pip install pycoingecko
Requirement already satisfied: pycoingecko in c:\users\saharsh\anaconda3\lib\site-packages (3.1.0)
Requirement already satisfied: requests in c:\users\saharsh\anaconda3\lib\site-packages (from pycoingecko) (2.28.2)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\saharsh\anaconda3\lib\site-packages (from requests->pycoingecko) (2022.9.14)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\users\saharsh\anaconda3\lib\site-packages (from requests->pycoingecko) (1.26.11)
Requirement already satisfied: idna<4,>=2.5 in c:\users\saharsh\anaconda3\lib\site-packages (from requests->pycoingecko) (3.3)
Requirement already satisfied: charset-normalizer<4,>=2 in c:\users\saharsh\anaconda3\lib\site-packages (from requests->pycoingecko) (2.0.4)
In [2]:
from pycoingecko import CoinGeckoAPI
cg = CoinGeckoAPI()
bitcoin_data = cg.get_coin_market_chart_by_id(id='bitcoin', vs_currency='usd', days=30)
bitcoin_data
Out[2]:
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In [3]:
import pandas as pd
data = pd.DataFrame(bitcoin_data, columns=['TimeStamp', 'Price'])

new¶

In [4]:
from ibm_watson import SpeechToTextV1
url_s2t = "https://stream.watsonplatform.net/speech-to-text/api"
In [5]:
!pip install ibm_watson
Requirement already satisfied: ibm_watson in c:\users\saharsh\anaconda3\lib\site-packages (7.0.0)
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In [6]:
from ibm_watson import SpeechToTextV1
url_s2t = "https://stream.watsonplatform.net/speech-to-text/api"
In [7]:
!pip install pycoingecko
!pip install plotly
!pip install mplfinance
!pip install --upgrade nbformat
Requirement already satisfied: pycoingecko in c:\users\saharsh\anaconda3\lib\site-packages (3.1.0)
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In [8]:
import pandas as pd
import numpy as np
import plotly.graph_objects as go
from plotly.offline import plot
import matplotlib.pyplot as plt
import datetime
from pycoingecko import CoinGeckoAPI
from mplfinance.original_flavor import candlestick2_ohlc
In [9]:
dict_={'a':[11,21,31],'b':[12,22,32]}
In [10]:
df = pd.DataFrame(dict_)
type(df)
Out[10]:
pandas.core.frame.DataFrame
In [11]:
df.head()
Out[11]:
a b
0 11 12
1 21 22
2 31 32
In [12]:
df.mean()
Out[12]:
a    21.0
b    22.0
dtype: float64
In [13]:
cg = CoinGeckoAPI()
boitcoin_data = cg.get_coin_market_chart_by_id(id='bitcoin', vs_currency='usd', days=30)
In [14]:
type(bitcoin_data)
Out[14]:
dict
In [15]:
bitcoin_price_data = bitcoin_data['prices']
bitcoin_price_data[0:5]
Out[15]:
[[1677744083296, 23393.49886298945],
 [1677747613955, 23449.933923364155],
 [1677751339334, 23429.430046442114],
 [1677754888082, 23412.569662781654],
 [1677758443930, 23423.026552982563]]
In [16]:
data = pd.DataFrame(bitcoin_price_data, columns=['TimeStamp', 'Price'])
In [17]:
data['date'] = data['TimeStamp'].apply(lambda d: datetime.date.fromtimestamp(d/1000.0))
In [18]:
candlestick_data = data.groupby(data.date, as_index=False).agg({"Price": ['min', 'max', 'first', 'last']})
In [19]:
fig = go.Figure(data=[go.Candlestick(x=candlestick_data['date'],
                open=candlestick_data['Price']['first'], 
                high=candlestick_data['Price']['max'],
                low=candlestick_data['Price']['min'], 
                close=candlestick_data['Price']['last'])
                ])

fig.update_layout(xaxis_rangeslider_visible=False)

fig.show()
Mar 52023Mar 12Mar 19Mar 2620k22k24k26k28k
plotly-logomark
In [ ]: